I'm currently working on diving deep into machine learning models, exploring various architectures from neural networks to ensemble methods. Currently focusing on understanding the nuanced differences between supervised, unsupervised, and reinforcement learning approaches.
I'm looking to collaborate on ML model development and research. Excited to connect with fellow machine learning enthusiasts who are passionate about comparing different model architectures, sharing insights, and exploring cutting-edge techniques in AI.
I'm currently learning to expand my knowledge of machine learning models, working on practical implementations, and understanding the theoretical foundations behind different ML algorithms and their real-world applications.
Ask me about my machine learning learning journey, the ML models I'm currently studying, and my approaches to understanding complex AI concepts.
I'm looking for help with seeking opportunities with forward-thinking tech companies willing to support emerging ML talent. Looking for internships, junior roles, or mentorship programs that provide hands-on experience in machine learning, where I can grow my skills while contributing to innovative projects.
Pinned Loading
-
-
-
ANN-and-Random-Forest-Predictions
ANN-and-Random-Forest-Predictions PublicUsing ANN and Random Forest models I was able to tap into the Online Shopping Behaviors of customers from 2019 October to April of 2020. With an accuracy of between 85% to 92%.
Python
-
-
StockWatcher
StockWatcher PublicThe Stock Watcher Page lets users track their favorite stocks with a personalized watchlist, real-time price updates, and performance graphs. It offers detailed insights like historical data, marke…
Something went wrong, please refresh the page to try again.
If the problem persists, check the GitHub status page or contact support.
If the problem persists, check the GitHub status page or contact support.